| Literature DB >> 24400964 |
Sakiko Fukui1, Kazuhiro Yoshiuchi, Junko Fujita, Sumie Ikezaki.
Abstract
BACKGROUND: Japan has the highest aging population in the world and promotion of home health services is an urgent policy issue. As home-visit nursing plays a major role in home health services, the Japanese government began promotion of this activity in 1994. However, the scale of home-visit nursing agencies has remained small (the average numbers of nursing staff and other staff were 4.2 and 1.7, respectively, in 2011) and financial performance (profitability) is a concern in such small agencies. Additionally, the factors related to profitability in home-visit nursing agencies in Japan have not been examined multilaterally and in detail. Therefore, the purpose of the study was to examine the determinants of financial performance of home-visit nursing agencies.Entities:
Mesh:
Year: 2014 PMID: 24400964 PMCID: PMC3893605 DOI: 10.1186/1472-6963-14-11
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Relationship between financial performance (profitable, stable and unprofitable) and management of home-visit nursing agency (in September 2012) (n = 1204, 100%)
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| Establishment year of a home-visit nursing agency | 2000 ± 5.5 | 2001 ± 5.8 | 2001 ± 5.7 | 0.37 |
| Establishment year of a home-visit nursing agency (2011 or later) | 28 (4.8) | 25 (6.6) | 21 (8.7) | 0.11 |
| Number of other home-visit nursing agencies managed by the same corporation | 7.0 ± 11.3 | 5.5 ± 8.9 | 6.6 ± 10.3 | 0.53 |
| Owned by a hospital | 236 (42.0) | 133 (37.8) | 118 (50.9) | 0.007** |
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| Years of experience of nurse manager | 7.0 ± 5.0* | 6.2 ± 4.7 | 5.7 ± 4.7 | 0.001** |
| Number of home visits per month by the nurse manager | 52.0 ± 26.1 | 49.6 ± 25.0 | 39.8 ± 21.4 * | <.001*** |
| Experience of nurse manager in management training | 421.0 (73.5) | 252.0 (67.2) | 147.0 (61.8) | 0.003** |
| Nurse manager’s capability with financial management | 342 (59.4) | 195 (52.3) | 104 (44.4) | <.001*** |
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| Number of nursing staff (converted to full-time staff) | 5.7 ± 3.5* | 4.5 ± 2.3 | 4.1 ± 2.0 | <.001*** |
| Number of rehabilitation staff (converted to full-time staff)a | 1.4 ± 2.9* | 0.9 ± 1.9 | 0.6 ± 1.6 | <.001*** |
| Total number of staff (converted to full-time staff)b | 8.3 ± 5.7* | 6.4 ± 4.2 | 5.3 ± 3.2* | <.001*** |
| Ratio of nursing staff within total staffc | 74.5 ± 20.6* | 78.0 ± 20.4 | 83.5 ± 18.4* | <.001*** |
| Ratio of rehabilitation staff within total staffc | 13.0 ± 17.3* | 10.5 ± 16.3 | 7.0 ± 14.1* | <.001*** |
| Ratio of full-time staffd | 69.8 ± 21.6 | 71.9 ± 22.7 | 75.2 ± 22.6 | 0.007** |
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| Number of patients using long-term care insurance | 67.2 ± 49.5* | 48.2 ± 35.3 | 33.8 ± 24.7* | <.001*** |
| Number of patients using medical insurance | 23.2 ± 21.1* | 15.7 ± 16.2 | 11.0 ± 10.0* | <.001*** |
| Total number of patients | 89.6 ± 61.5* | 62.8 ± 43.4 | 44.5 ± 28.8* | <.001*** |
| Number of patients per nursing staffe | 18.1 ± 16.8* | 14.5 ± 8.8 | 11.3 ± 7.0* | <.001*** |
| Percentage of patients covered by medical insurancee | 25.6 ± 14.8 | 25.1 ± 16.7 | 26.1 ± 19.2 | 0.78 |
| Number of new patients of medical insurance | 3.4 ± 3.1* | 2.4 ± 2.4 | 1.9 ± 2.1* | <.001*** |
| Number of new patients of long-term care insurance | 2.0 ± 2.7* | 1.2 ± 1.9 | 1.4 ± 3.2 | <.001*** |
| Percentage of new patientse | 6.5 ± 4.8 | 6.4 ± 6.5 | 7.8 ± 11.4 | 0.04* |
| Percentage of bedridden patientsf | 28.8 ± 17.2 | 30.2 ± 19.3 | 32.1 ± 21.6 | 0.09† |
| Percentage of patients who ended the service due to improvement | 4.7 ± 6.1 | 6.1 ± 8.6 | 7.6 ± 10.9* | <.001*** |
| Percentage of patients who ended the service due to hospitalized | 6.0 ± 8.0 | 5.8 ± 5.5 | 7.0 ± 11.9 | 0.22 |
| Percentage of home deaths among terminal patientsg | 70.3 ± 30.8 | 67.1 ± 34.8 | 62.1 ± 35.3 | 0.04* |
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| Planned learning opportunities per year for all staff members | 524 (90.0) | 327 (86.0) | 212 (87.6) | 0.16 |
| Conducting regularly of patient satisfaction survey | 236 (41.3) | 127 (34.2) | 91 (39.1) | 0.11 |
| Conducting regularly of care monitoring among staff | 262 (45.9) | 139 (37.5) | 90 (38.6) | 0.02* |
| Conducting regularly of control of staff objectives by nurse manager | 323 (56.6) | 136 (36.7) | 94 (40.3) | <.001*** |
| Conducting regularly of visits of staff with nurse manager | 166 (28.5) | 112 (29.5) | 67 (27.7) | 0.89 |
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| Number of hospitals with cooperation in the community | 27.7 ± 23.1* | 20.2 ± 17.4 | 14.7 ± 12.9* | <.001*** |
| Activities for regional contribution: Open lecture for citizens | 74 (13.1) | 38 (10.2) | 18 (7.7) | 0.12 |
| Activities for regional contribution: Required to serve as instructors at external lectures | 238 (42.2) | 100 (26.9) | 63 (26.9) | <.001*** |
| Activities for regional contribution: Participation in meetings of local home-care related committees | 211 (37.4) | 98 (26.3) | 61 (26.1) | <.001*** |
| Activities for regional contribution: Received consultations from other health professionals | 367 (65.1) | 222 (59.7) | 129 (55.1) | 0.02* |
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| Proportion of total income covered by long-term care insurance | 64.8 ± 18.0 | 65.5 ± 18.9 | 65.3 ± 20.1 | 0.83 |
| Proportion of total income covered by medical insurance | 35.2 ± 18.0 | 34.5 ± 18.9 | 34.7 ± 20.1 | 0.83 |
| Proportion of expenditures going toward compensation | 75.2 ± 11.9 | 73.7 ± 11.2 | 80.2 ± 9.7* | <.001*** |
| Compensation of full-time nursing staff | 4996046.4 ± 2251701.0* | 4517809.1 ± 2236688.5 | 4634608.1 ± 2386036.2 | 0.02* |
AWhen the variable was continuous values, we performed one-way analysis of variance. Furthermore, when significant correlation was confirmed between the financial performance and the variables, we performed Dunnett multiple comparison to compare the “stable” group with “profitable” and “unprofitable” groups. When variables were categorical data, we performed chi-square test. ***P<.001, **P<.01, *P<.05, †P<.10.
a:Total number of physiotherapists, occupational therapists and speech therapists.
b:Total number of nursing staff, rehabilitation staff and office staff.
c:Number of nursing staff or rehabilitation staff converted to full-time staff/number of staff converted to full-time staff.
d:Number of full-time staff/number of staff converted to full-time staff.
e:Ratio (%) calculated using the total number of patients as the denominator during the 1-month study period (September 2012).
f: Ratio of independence in daily life C calculated using the total of J (independence), A (independence in a room), B (independence on the floor) and C (bedridden) as the denominator.
g:Number of patients died at home/number of patients who died after receiving terminal care during 6 months from April to September 2012.
Determinants of financial performance in home-visit nursing agencies: results of multinominal logistic regression analysis
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| Owned by a hospital | 1.06 (0.78–1.44) | 1.83 (1.25–2.68)** |
| Years of experience of nurse manager (≥6 years) | 1.18 (0.89–1.58) | 0.75 (0.52–1.09) |
| Number of home visits per month by the nurse manager (≥50 times per month) | 1.20 (0.90–1.59) | 0.45 (0.31–0.66)*** |
| Experience of nurse manager in management training (Having) | 0.96 (0.71–1.31) | 0.86 (0.59–1.25) |
| Nurse manager’s capability with financial management (Having) | 1.14 (0.85–1.51) | 0.79 (0.55–1.14) |
| Number of nursing staff (converted to full-time staff) (≥5) | 1.65 (1.16–2.34)** | 0.70 (0.43–1.14) |
| Number of rehabilitation staff (converted to full-time staff) (≥1)a | 1.16 (0.62–2.18) | 0.34 (0.14–0.84)* |
| Ratio of nursing staff within total staff (≥75%)b | 0.85 (0.59–1.21) | 1.09 (0.69–1.72) |
| Ratio of rehabilitation staff within total staff (≥10%)b | 1.12 (0.63–1.99) | 0.25 (0.11–0.58)** |
| Ratio of full-time staff (≥75%)c | 0.84 (0.63–1.12) | 1.08 (0.75–1.55) |
| Total number of patients (≥70) | 1.94 (1.33–2.83)*** | 0.52 (0.29–0.92)* |
| Number of patients per nursing staff (≥70) | 1.18 (0.85–1.66) | 0.79 (0.51–1.24) |
| Percentage of new patients (≥7%)d | 1.31 (0.97–1.77) | 1.07 (0.73–1.56) |
| Percentage of bedridden patients (≥30%)e | 1.00 (0.76–1.33) | 0.84 (0.59–1.20) |
| Percentage of home deaths among terminal patients (≥65%)f | 1.11 (0.83–1.49) | 0.61 (0.41–0.89)* |
| Conducting regularly of care monitoring among staff | 1.37 (1.03–1.82)* | 1.10 (0.76–1.59) |
| Conducting regularly of control of staff objectives by nurse manager | 1.81 (1.36–2.42)*** | 1.10 (0.76–1.61) |
| Number of hospitals with cooperation in the community (≥20) | 1.11 (0.80–1.55) | 0.62 (0.39–0.97)* |
| Activities for regional contribution: Required to serve as instructors at external lectures | 1.40 (1.02–1.93)* | 1.37 (0.89–2.11) |
| Activities for regional contribution: Participation in meetings of local home-care related committees | 1.27 (0.93–1.74) | 1.12 (0.74–1.71) |
| Activities for regional contribution: Received consultations from other health professionals | 0.87 (0.65–1.17) | 0.83 (0.58–1.20) |
| Proportion of expenditures going toward compensation (≥75%) | 1.11 (0.83–1.48) | 3.83 (2.47–5.94)*** |
| Compensation of full-time nursing staff (≥4,500,000 yen per year) | 1.01 (0.75–1.37) | 1.05 (0.71–1.56) |
R2=0.26, Adjusted R2=0.30.
AWe examined the association of “profitable” and “unprofitable” agencies, with the “stable” agencies as a reference.
BIndependent variables were used with p values less than 0.10 by the univariate analysis, and numarical variables were divided into two by the average.
***:P<.001, **:P<.01, *:P<.05.
a:Total number of physiotherapists, occupational therapists and speech therapists.
b:Number of nursing care staff or rehabilitation staff converted to full-time staff/number of staff converted to full-time staff.
c:Number of full-time staff/number of staff converted to full-time staff.
d:Ratio (%) calculated using the total number of patients as the denominator during the 1-month study period (September 2012).
e:Ratio of independence in daily life C calculated using the total of J (independence), A (independence in a room), B (independence on the floor) and C (bedridden) as the denominator.
f:Number of patients died at home/number of patients who died after receiving terminal care during 6 months from April to September 2012.